Simulated_data: Simulated Parkinson's disease data

In GSSE: Genotype-Specific Survival Estimation

Description

This is an artificial data set used for the illustration of the current R-package. There are 4 columns, 268 rows in this data set.

Usage

data("Simulated_data")

Format

A data frame with 268 observations on the following 4 columns with.

FamID

a factor with levels Child, Parent and Sibling

Y

a factor with levels No and Yes

delta

a numeric vector

p0G

a numeric vector, probability distribution value.

Source

This is a simulated data set based on the real data analysis results in Wang et al. (2015).

References

Wang, Y., Liang, B., Tong, X., Marder, K., Bressman, S., Orr-Urtreger, A., Giladi, N. & Zeng, D. (2015). Efficient estimation of nonparametric genetic risk function with censored data. Biometrika, 102(3), 515-532.

Marder, K., Wang, Y., Alcalay, R. N., Mejia-Santana, H., Tang, M. X., Lee, A., ... & Miravite, J. (2015). Age-specific penetrance of LRRK2 G2019S in the Michael J. Fox Ashkenazi Jewish LRRK2 Consortium. Neurology, 85(1), 89–95.

Qin, J., Garcia, T., Ma, Y., Tang, M., Marder, K. & Wang, Y. (2014). Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint. The Annals of Applied Statistics 8(2), 1182-1208.

See Also

Sieve_NPMLE_Switch(), Sieve_NPMLE_Bootstrap(), EM_PAVA_Func().

Examples

data("Simulated_data")

Example output

GSSE documentation built on May 2, 2019, 12:40 p.m.